Databricks Platform Administrator, Data Engineering

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world's biggest brands. The future of data resilience is here - go fearlessly forward with us.

Veeam is seeking a Databricks Platform Administrator to join our internal and international data team. You'll be part of the team building out the next generation of data infrastructure and systems to power Veeam's Analytics, Data Science, and AI capabilities. You will work closely with Engineering, Infrastructure, and AI teams to ensure the platform's reliability, security, and performance.

• Administer and maintain the Databricks platform within Azure, including clusters, jobs, notebooks, and workspace configurations
• Implement and manage security controls, including user access, role assignments, and compliance with organizational policies
• Monitor system performance, resource utilization, and ensure optimal cost management
• Collaborate with data engineering teams to optimize ETL pipelines and workflows
• Automate administrative tasks using scripts, APIs, and Azure DevOps pipelines
• Apply best practices for backup, disaster recovery, and high availability for Databricks workloads
• Troubleshoot technical issues, perform root cause analyses, and provide timely resolutions
• Keep up to date with Databricks and Azure feature releases and recommend adoption strategies
• Maintain up-to-date documentation on processes and best practices

• Proven experience administering Databricks in Azure environments
• Experience with Databricks specific CI/CD best practices in Azure
• Data governance and security best practices using Unity Catalog
• Strong understanding of Azure services (Azure Data Lake, Azure Data Factory, Azure Key Vault, Azure Monitor)
• Knowledge of Spark architecture and performance tuning
• Proficiency in Python, SQL, and automation scripting
• Familiarity with data security, compliance, and governance frameworks
• Excellent communication, collaboration, and change management skills
• Ability to travel occasionally (once per quarter) with the E.U. or to the U.S. for team meetings or conferences

• Understanding of GDPR, SOX, and similar legal framework requirements
• Exposure to data-governance tooling (Atlan, Collibra) and metadata management
• Experience in enterprise software or SaaS—especially data protection, cloud, or cybersecurity domains
• System knowledge of Salesforce, ServiceNow, or Tableau

• Private medical insurance for you, one adult dependent, and your children
• Meal tickets
• Private pension plan
• Life insurance
• Vision reimbursement
• Annual leave and additional vacation days based on tenure
• Cafeteria Benefit Plan where you will be able to flexibly customize your benefits package based on your budget and personal needs
• Veeam Care Days – additional 24 hours for your volunteering activities
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O'Reilly) and mentoring through our MentorLab program

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

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By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.